You have just posted a slightly different version of this question on
R-help.
- are you using S-PLUS or R?
- are you using loess.smooth or loess? (note, no capitals!)
The differences matter somewhat.
On Sun, 23 Mar 2003, Davorka Gulisija wrote:
> I am using Loess procedure in order to infer certain relationship
> for the data set of ~130,000 observations with ~300 distinct values of
> single predictor. I understand that fitted values y-hat are just 300
> Weighted
> LS fits in certain neighborhood of predictors. I am bit confused about
> how exactly is this neighborhood assigned . Say I choose spanning
> parameter = .5, for each LS analysis 75000 observations should be used.
> However, intuitively it doesn't seem right since points are not equally
> distributed among predictors and there are many observations for a single
> value of predictor.
> I would appreciate if someone could clear this for me.
--
Brian D. Ripley, ripley@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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